android_type
Type text on the Android device keyboard.
This record as markdown: /tools/io-github-saloprj-dialogbrain/android-type.md
What android_type does on Dialogbrain
AI agents invoke android_type to trigger actions in Dialogbrain. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Yes | Text to type |
channel_account_id | integer | — | Android device channel_account ID. Omit when the workspace has a single Android device; REQUIRED when it has more than one (e.g. WhatsApp + LINE), else the call |
Parameters from the server's own tool schema.
Why android_type is rated High
This tool executes a keyboard input action on an Android device, simulating physical typing. It triggers an external operation (device input) whose effects depend on arguments — text could be typed into any active field, including messages, emails, or sensitive inputs. Since it controls device input programmatically, it falls under Execute.
From the tool's definition Type text on the Android device keyboard
Attacks that exploit this kind of access
The rule that runs android_type safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For android_type, this is the rule to start with:
android_type stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every android_type call is checked against it from then on.
Questions about android_type
Type text on the Android device keyboard. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
android_type accepts 2 parameters: text, channel_account_id. Required: text. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for android_type: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Dialogbrain. Nothing to install.
android_type is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the android_type rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for android_type. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
android_type is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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